Main
Haniah Kring
Education
B.S., Computer Science
Hope College
Holland, MI
December 2023 - August 2020
- Coursework: Google Data Analytics, Database Systems, R for Biological Sciences, Parallel Programming, Applied Statistical Models, Statistics for Data Science
Industry Experience
Data Analyst Intern
GreenStone Farm Credit Services
East Lansing, MI
Present - May 2023
- Fully automated GreenStone’s portfolio stress test report…
- Converted GreenStone’s Current Expected Credit Loss model from Excel to R, reducing processing time by over 90% and eliminating user error.
- Developed an R package that converts data to a formatted static or dynamic table, with options for preset themes.
- Forecasted historical portfolio growth using the LSTM model in Python to monitor percentage share of each portfolio segment.
Consultant Lead
Center for Leadership
Holland, MI
Present - August 2022
- Collaborated with Stryker Instruments on a market research project and advised them on a new medical device industry (subject to NDA).
- Lead a team of four to develop a 25 page requirements document for a mobile app that assists mentors at Kids Hope USA with their mentoring sessions.
Research Experience
Undergraduate Researcher
Patient-handling and ML Models
Hope College
July 2022 - January 2022
- Applied multivariate time series models in Python to predict the quality of posture in nurses performing patient-handling tasks with an accuracy of 98.1%.
- Presented findings at three regional undergraduate research conferences (WMRUGS, MSGC, and CURCA).
Undergraduate Researcher
Macatawa Watershed Analysis
Hope College
May 2021 - August 2020
- Collected water samples of Lake Macatawa at 12 different stream and lake sites and sequenced DNA for analysis.
- Leveraged tidyverse in R to clean, analyze, and visualize watershed data, employing methods such as ANOVA tables, stacked bar plots, ordination plots, and heatmaps.
Teaching Experience
Teaching Assistant
R for Biological Sciences
Hope College
Present - August 2021
- Served as TA helping facilitate class discussions, debug student code, graded all programming assignments, and provided extensive feedback.